Dynamical Models of Sentence Processing

Dynamical models of sentence processing

We suggest that the theory of dynamical systems provides a revealing general framework for modeling the representations and mechanism underlying syntactic processing. We show how a particular dynamical model, the Visitation Set Gravitation model of Tabor, Juliano, and Tanenhaus (1997), develops syntactic representations and models a set of contingent frequency effects in parsing that are proble...

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Psycholinguistic Models of Sentence Processing Improve Sentence Readability Ranking

While previous research on readability has typically focused on document-level measures, recent work in areas such as natural language generation has pointed out the need of sentence-level readability measures. Much of psycholinguistics has focused for many years on processing measures that provide difficulty estimates on a word-by-word basis. However, these psycholinguistic measures have not y...

Symbolic models of human sentence processing

We take “symbolic models of sentence processing” to mean approaches in which processing is characterized in terms of relatively discrete, combinatorial representations. We survey the distinct approaches: Grammar-based, automataand informationtheoretic, those involving complexity metrics and principles, cognitive architecturebased, and probabilistic models. An example is provided of each approac...

Bayesian Models of Human Sentence Processing

Human language processing relies on many kinds of linguistic knowledge, and is sensitive to their frequency, including lexical frequencies (Tyler, 1984; Salasoo & Pisoni, 1985; MarslenWilson, 1990; Zwitserlood, 1989; Simpson & Burgess, 1985), idiom frequencies (d’Arcais, 1993), phonological neighborhood frequencies (Luce, Pisoni, & Goldfinger, 1990), subcategorization frequencies (Trueswell, Ta...